Triple
T10209850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RTL Group |
E242297
|
entity |
| Predicate | ownsTVChannel |
P61714
|
FINISHED |
| Object |
W9
W9 is a French television channel known for broadcasting a mix of entertainment, series, films, and music programming.
|
E849562
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: W9 | Statement: [RTL Group, ownsTVChannel, W9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: W9 Context triple: [RTL Group, ownsTVChannel, W9]
-
A.
9W
9W is a U.S. highway designation used for a north–south route running primarily through New York and New Jersey along the west side of the Hudson River.
-
B.
W8
W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
-
C.
99W
99W is the highway designation for the western branch of historic U.S. Route 99 in Oregon, running through the Willamette Valley and serving as a major north–south corridor parallel to Interstate 5.
-
D.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
-
E.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: W9 Triple: [RTL Group, ownsTVChannel, W9]
Generated description
W9 is a French television channel known for broadcasting a mix of entertainment, series, films, and music programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: W9 Target entity description: W9 is a French television channel known for broadcasting a mix of entertainment, series, films, and music programming.
-
A.
9W
9W is a U.S. highway designation used for a north–south route running primarily through New York and New Jersey along the west side of the Hudson River.
-
B.
W8
W8 is a central London postcode district covering the affluent Kensington area, known for its upscale residences, shops, and cultural institutions.
-
C.
99W
99W is the highway designation for the western branch of historic U.S. Route 99 in Oregon, running through the Willamette Valley and serving as a major north–south corridor parallel to Interstate 5.
-
D.
WHE
WHE is the National Rail station code for Whalley railway station in Lancashire, England.
-
E.
The W
The W is the commonly used nickname for Mississippi University for Women, a public university in Columbus, Mississippi.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f860048190bb20f7d3bf87f347 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652cca9c081909f705365c70db009 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d654ddaed88190bcd7f1a2ee9dd462 |
completed | April 8, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d655338cc08190ba00163f0afa4c3b |
completed | April 8, 2026, 1:16 p.m. |
Created at: April 6, 2026, 11 a.m.